Triple
T16382818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donte Greene |
E397849
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Donte |
E698019
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Donte | Statement: [Donte Greene, givenName, Donte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donte Context triple: [Donte Greene, givenName, Donte]
-
A.
Donte
chosen
Donte is a masculine given name most notably associated with American professional basketball player Donte DiVincenzo.
-
B.
Delonte
Delonte is a masculine given name most notably associated with former NBA basketball player Delonte West.
-
C.
Donto James
Donto James is a music producer best known for his work with the legendary blues singer Etta James, often associated with her later-career recordings.
-
D.
Denzell
Denzell is a given name that serves as an alternative spelling of the more common name Denzel.
-
E.
Demonte
Demonte is a small historic town in Italy’s Piedmont region, situated in the Stura di Demonte Valley in the Cuneo province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319ddcef08190a2081855b5cf6762 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356b00408190beab51a23011be67 |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.